What are the applications of embedding techniques in AI?

What are the applications of embedding techniques in AI?

Embedding techniques are used in various AI applications, including natural language processing, image recognition, and recommendation systems.

Can you explain how embeddings are used in natural language processing?

In NLP, embeddings convert words or phrases into numerical vectors, capturing semantic meanings and relationships.

What about their role in recommendation systems?

In recommendation systems, embeddings help represent users and items in a shared space, improving personalized suggestions.

Are there specific algorithms used for creating embeddings?

Yes, popular algorithms include Word2Vec, GloVe, and more recently, transformer-based models like BERT.